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C-Oracle: Predictive thermal management for data centers

Luiz Ramos, Ricardo Bianchini
2008 High-Performance Computer Architecture  
To address this challenge, in this paper we propose C-Oracle, a software infrastructure for Internet services that dynamically predicts the temperature and performance impact of different thermal management  ...  We experimentally evaluate C-Oracle for thermal management policies based on load redistribution and dynamic voltage/frequency scaling in both single-tier and multi-tier services.  ...  Acknowledgements: We thank Fabio Oliveira for his help with the auction service. We also thank Luiz Barroso, Frank Bellosa, and Yung-Hsiang Lu for comments that helped improve this paper.  ... 
doi:10.1109/hpca.2008.4658632 dblp:conf/hpca/RamosB08 fatcat:ujircnv3ljb6dnk3bgi5x7zbcm

C-Oracle: Predictive Thermal Management for Data Centers

Luiz Ramos, Ricardo Bianchini
2007
To address this challenge, in this paper we propose C-Oracle, a software infrastructure for Internet services that dynamically predicts the temperature and performance impact of different thermal management  ...  We experimentally evaluate C-Oracle for thermal management policies based on load redistribution and dynamic voltage/frequency scaling in both single-tier and multi-tier services.  ...  Acknowledgements We would like to thank Fabio Oliveira for helping us with the auction service.  ... 
doi:10.7282/t3pk0kkt fatcat:okj4bfypljhspdgsloqlyodkmi

PEAM: Predictive Energy-Aware Management for Storage Systems

Xunfei Jiang, Ji Zhang, Mohammed I. Alghamdi, Xiao Qin, Minghua Jiang, Jifu Zhang
2013 2013 IEEE Eighth International Conference on Networking, Architecture and Storage  
Based on the model, our predictive energy-aware management system can automatically select the most energy efficient method for data transmission.  ...  This paper presents a novel Predictive Energy-Aware Management (PEAM) system that is able to reduce the energy costs of storage systems by appropriately selecting data transmission methods.  ...  C-Oracle effectively manages thermal emergencies without unnecessary performance degradation.  ... 
doi:10.1109/nas.2013.20 dblp:conf/nas/JiangZAQJ13 fatcat:qalr7mqm5za3zjgwfyjd4px574

Task scheduling with ANN-based temperature prediction in a data center: a simulation-based study

Lizhe Wang, Gregor von Laszewski, Fang Huang, Jai Dayal, Tom Frulani, Geoffrey Fox
2011 Engineering with Computers  
In this paper, we propose a method to predict a workload's thermal effect on a data center, which will be suitable for real-time scenarios.  ...  Based on the temperature prediction techniques, we developed a thermal-aware workload scheduling algorithm for data centers, which aims to reduce power consumption and temperatures in a data center.  ...  like Data Center Observatory [17] , Mercury and Freon [18] , LiquidN2 and C-Oracle [19] .  ... 
doi:10.1007/s00366-011-0211-4 fatcat:pyalssklbfekpg5pfgve2jdrkq

Towards Thermal Aware Workload Scheduling in a Data Center

Lizhe Wang, Gregor von Laszewski, Jai Dayal, Xi He, Andrew J. Younge, Thomas R. Furlani
2009 2009 10th International Symposium on Pervasive Systems, Algorithms, and Networks  
High density blade servers are a popular technology for data centers, however, the heat dissipation density of data centers increases exponentially.  ...  Then a thermal aware task scheduling algorithm is presented which aims to reduce power consumption and temperatures in a data center.  ...  like Data Center Observatory [14] , Mercury & Freon [15] , LiquidN2 & C-Oracle [16] .  ... 
doi:10.1109/i-span.2009.22 dblp:conf/ispan/WangLDHYF09 fatcat:3sxrjvl4yjdfznfdtbosgv3mg4

Thermal aware workload scheduling with backfilling for green data centers

Lizhe Wang, Gregor von Laszewski, Jai Dayal, Thomas R. Furlani
2009 2009 IEEE 28th International Performance Computing and Communications Conference  
This paper devotes itself in the field of thermal aware resource management for data centers.  ...  Data centers now play an important role in modern IT infrastructures. Related research has shown that the energy consumption for data center cooling systems has recently increased significantly.  ...  , and with software management architectures like Data Center Observatory [?], Mercury & Freon [?], LiquidN2 & C-Oracle[?].  ... 
doi:10.1109/pccc.2009.5403821 dblp:conf/ipccc/WangLDF09 fatcat:nvt2djoy3rebjixseefxfm5glu

Prediction Based Proactive Thermal Virtual Machine Scheduling in Green Clouds

Supriya Kinger, Rajesh Kumar, Anju Sharma
2014 The Scientific World Journal  
Thus, a reduction in need of cooling systems for a Cloud environment has been obtained and validated.  ...  Working temperature on which a machine is currently running can be taken as a criterion for Virtual Machine (VM) scheduling.  ...  Acknowledgments The authors are grateful to anonymous reviewers for their constructive comments.  ... 
doi:10.1155/2014/208983 pmid:24737962 pmcid:PMC3967661 fatcat:spea62ru25hepms2xy5zk2vbc4

Data Center Environment Monitoring System

Diogo Santos, Bruno Mataloto, Joao C. Ferreira
2019 Proceedings of the 2019 4th International Conference on Cloud Computing and Internet of Things - CCIOT 2019  
We describe our work as an IoT platform to measure temperature, humidity, and energy consumption in these data centers.  ...  We apply an IoT-developed platform using LoRa communication to a Data Center to understand temperature behavior within a concentration of servers and the working behavior of these server machines.  ...  RELATED WORK In [5] , the authors present a system called C-Oracle, which performs the thermal management of a data center environment.  ... 
doi:10.1145/3361821.3361824 fatcat:224kew777nccdku2jyexfny4wi

A survey on architectures and energy efficiency in Data Center Networks

Ali Hammadi, Lotfi Mhamdi
2014 Computer Communications  
C-Oracle [80] and Weatherman [81] introduced a software infrastructure to predict heat profiles in the data center for dynamic thermal management, thereby obviating the need of manual static configuration  ...  Software in- frastructure Implementation of C-oracle with ther- mal management policies shown provi- sion of accurate prediction in order to manage thermal emergencies  ... 
doi:10.1016/j.comcom.2013.11.005 fatcat:2runpdpelvahra6545sx6dj2pm

Towards energy-efficient reactive thermal management in instrumented datacenters

Ivan Rodero, Eun Kyung Lee, Dario Pompili, Manish Parashar, Marc Gamell, Renato J. Figueiredo
2010 2010 11th IEEE/ACM International Conference on Grid Computing  
Because no single technique is the most efficient to meet temperature/performance optimization goals in all situations, we work towards an autonomic approach that performs energy-efficient thermal management  ...  Virtual Machine (VM) migration is one of the most common techniques used to alleviate thermal anomalies (i.e., hotspots) in cloud datacenter's servers of by reducing the load and, therefore, decreasing  ...  ACKNOWLEDGMENTS This research was conducted within the NSF Center for Autonomic Computing and is supported in part by The Extreme Scale Systems Center at ORNL, by the Department of Defense, and by an IBM  ... 
doi:10.1109/grid.2010.5698002 dblp:conf/grid/RoderoLPPGF10 fatcat:bgqeqnia7nd7veggzvyjusi2lq

VMAP: Proactive thermal-aware virtual machine allocation in HPC cloud datacenters

Eun Kyung Lee, Hariharasudhan Viswanathan,, Dario Pompili
2012 2012 19th International Conference on High Performance Computing  
This thermal awareness enables proactive datacenter management through prediction of future temperature trends as opposed to the state-of-the-art reactive management based on current temperature measurements  ...  VMAP, an innovative proactive thermal-aware virtual machine consolidation technique is proposed to maximize computing resource utilization, to minimize datacenter energy consumption for computing, and  ...  Manish Parashar, Rutgers University, for his insightful comments and suggestions. We thank Profs.  ... 
doi:10.1109/hipc.2012.6507478 dblp:conf/hipc/LeeVP12 fatcat:kzmw5ta3avb3fco2uier7txyee

Energy Efficiency in HPC Systems [chapter]

Ivan Rodero, Manish Parashar
2012 Energy-Efficient Distributed Computing Systems  
Description of proactive, component-based power management (Section 1.3) • Quantification of possible power savings through component-based power management (Section 1.4)  ...  at ORNL and the Department of Defense, and by an IBM Faculty Award, and was conducted as part of the NSF Center for Autonomic Computing at Rutgers University.  ...  (NSF) via grants numbers IIP 0758566, CCF-0833039, DMS-0835436, CNS 0426354, IIS 0430826, and CNS 0723594, by Department of Energy via the grant number DE-FG02-06ER54857, by The Extreme Scale Systems Center  ... 
doi:10.1002/9781118342015.ch3 fatcat:r3tlvuyynfh4fimncjw5r77mqa

TEES: A novel multiple criteria optimization scheme for temperature-constrained energy efficient storage

Jian Zhou, Jun Wang, Fei Wu, Changsheng Xie
2016 Journal of Parallel and Distributed Computing  
Existing energy saving schemes that have been developed for Energy Efficient Storage funnel I/O traffic on a few disks while allowing the rest idle.  ...  This is achieved by developing an online temperature prediction model and aggregating all the decision criteria, such as I/O performance, power consumption, estimated temperature and frequency of disk-status  ...  improved the C-Freon in C-Oracle [32] using online thermal prediction. Their basic method is to control the load intensity of a server.  ... 
doi:10.1016/j.jpdc.2016.05.010 fatcat:awzbajiirzfhbhzrn2jw7gw2je

Energy-efficient application-aware online provisioning for virtualized clouds and data centers

I. Rodero, J. Jaramillo, A. Quiroz, M. Parashar, F. Guim, S. Poole
2010 International Conference on Green Computing  
As energy efficiency and associated costs become key concerns, consolidated and virtualized data centers and clouds are attractive computing platforms for data-and compute-intensive applications.  ...  These include, for example, the tradeoff between the need to efficiently create and provision Virtual Machines (VMs) on data center resources and the need to accommodate the heterogeneous resource demands  ...  at ORNL and the Department of Defense, and by an IBM Faculty Award, and was conducted as part of the NSF Center for Autonomic Computing at Rutgers University.  ... 
doi:10.1109/greencomp.2010.5598283 dblp:conf/green/RoderoJQPGP10 fatcat:33ly3ya36zcwvf7mf2zdecjpuy

A Strategic Model for Adopting Energy Efficient Cloud Computing Infrastructure for Sustainable Environment

Muhammad Adeel Javaid
2014 Social Science Research Network  
We discuss a hierarchical structure to build the virtual network for facilitating management.  ...  In general, cloud computing focus on the data computing efficiency; green cloud computing is a new thinking which is based on cloud computing architecture and focuses on the energy efficiency of device  ...  [37] proposed a software prediction infrastructure called C-Oracle that makes online predictions for data center thermal management based on load redistribution and DVS. Moore et al.  ... 
doi:10.2139/ssrn.2389084 fatcat:ocvwpwts6vak3egogbptqtqrze
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